An In-Depth Analysis of the Causes of Road Accidents in Developing Countries: Case Study of Douala-Dschang Highway in Cameroon — Oak Academic Publishing
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An In-Depth Analysis of the Causes of Road Accidents in Developing Countries: Case Study of Douala-Dschang Highway in Cameroon
Department of Civil Engineering, Advanced Teachers Technical Training College of Ebolowa, University of Yaoundé I, Yaoundé, Cameroon
,
Laboratory of Mechanics, University of Douala, Douala, Cameroon
,
Ministry of Transport, Kupe Muanenguba Divisional Delegation, Bangem, Cameroon
,
Laboratory of Mechanics, University of Douala, Douala, Cameroon
,
Laboratory of Mechanics, University of Douala, Douala, Cameroon
,
National Advanced School of Engineering Yaoundé, University of Yaoundé I, Yaoundé, Cameroon
1 Department of Civil Engineering, Advanced Teachers Technical Training College of Ebolowa, University of Yaoundé I, Yaoundé, Cameroon
2 Laboratory of Mechanics, University of Douala, Douala, Cameroon
3 Ministry of Transport, Kupe Muanenguba Divisional Delegation, Bangem, Cameroon
4 Laboratory of Mechanics, University of Douala, Douala, Cameroon
5 Laboratory of Mechanics, University of Douala, Douala, Cameroon
6 National Advanced School of Engineering Yaoundé, University of Yaoundé I, Yaoundé, Cameroon
This paper is aimed at identifying the risk factors that mainly contribute to reckless driving and other related causes of road accidents along the Douala-Dschang highway of Cameroon. The research work started with the collection of accident reports for 2018 and 2019 from security officials in charge of road safety and the police stations of the different localities included in the sample of the study. Three hundred and eighty-two (382) road accidents re ports were collected and analyzed using the 2020 version logit regression model of XLSTAT. From these analyses, it appears that, of the 382 accidents recorded during this period, six factors were identified and classified as follows: causes of accidents related to speed and carelessness, location of the accident, type of vehicle at fault, day the accident occurred, time of the accident and the age of drivers involved. These results could contribute to reduce the gravity of accidents along the Douala-Dschang highway and develop other policies in the program for road safety. In addition, this study can as much as possible equally contribute to reorienting road construction trends and development techniques in our environment.
KeywordsRoad SafetyTrafficRoad AccidentsDouala-Dschang HighwayLogistic Regression Model
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